HiTZ
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Medical-mT5-xl

Text2Text Generation

Inference Endpoints

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Iker commited on Oct 31, 2023

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@@ -271,19 +271,19 @@ If you want to use MedMT5 for Sequence Labeling, we recommend you use this code:
 ### Single-task supervised F1 scores for Sequence Labelling
 <p align="center">
     <br>
-    <img src="https://huggingface.co/HiTZ/MedMT5-large/resolve/main/single.png" style="height: 600px;">
     <br>
 ### Multi-task supervised F1 scores for Sequence Labelling
 <p align="center">
     <br>
-    <img src="https://huggingface.co/HiTZ/MedMT5-large/resolve/main/multi.png" style="height: 600px;">
     <br>
 ### Zero-shot F1 scores for Argument Mining. Models have been trained in English and evaluated in Spanish, French and Italian.
 <p align="center">
     <br>
-    <img src="https://huggingface.co/HiTZ/MedMT5-large/resolve/main/cross.png" style="height: 320px;">
     <br>

 ### Single-task supervised F1 scores for Sequence Labelling
 <p align="center">
     <br>
+    <img src="https://huggingface.co/HiTZ/Medical-mT5-large/resolve/main/single.png" style="height: 600px;">
     <br>
 ### Multi-task supervised F1 scores for Sequence Labelling
 <p align="center">
     <br>
+    <img src="https://huggingface.co/HiTZ/Medical-mT5-large/resolve/main/multi.png" style="height: 600px;">
     <br>
 ### Zero-shot F1 scores for Argument Mining. Models have been trained in English and evaluated in Spanish, French and Italian.
 <p align="center">
     <br>
+    <img src="https://huggingface.co/HiTZ/Medical-mT5-large/resolve/main/cross.png" style="height: 320px;">
     <br>